The progressive abandonment of religious houses, culminating with the Portuguese definitive dissolution of the religious orders in 1834, led to the alteration, abandonment or ruin of 131 religious complex heritage sit...
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The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linkin...
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The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into account the specificities of a given type of music. In this paper, we present a method for linking musically relevant sections in a score of a piece from makam music of Turkey (MMT) to the corresponding time intervals of an audio recording of the same piece. The method starts by extracting relevant features from the score and from the audio recording. The features of a given score section are compared with the features of the audio recording to find the candidate links in the audio for that score section. Next, using the sequential section information stored in the score, it selects the most likely links. The method is tested on a dataset consisting of instrumental and vocal compositions of MMT, achieving 92.1% and 96.9% F-1-scores on the instrumental and vocal pieces, respectively. Our results show the importance of culture-specific and knowledge-based approaches in music information processing.
The paper addresses a modular system approach to the analysis, design, and improvement of human-computer systems (HCSs). The approach is based on ordinal expert information and optimization models. A modular descripti...
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The paper addresses a modular system approach to the analysis, design, and improvement of human-computer systems (HCSs). The approach is based on ordinal expert information and optimization models. A modular description of HCSs (system components and their interconnection), some corresponding requirements to them, and improvement actions are described. The following stages have been examined: design of a basic system morphology, modification of the morphology, analysis, and planning. Our combinatorial approach (two-level hierarchical morphological design) consists of two problems: (i) multi-criteria analysis of primitives (design alternatives), and (ii) combinatorial synthesis. The hierarchical combinatorial synthesis is based on a "design morphology" which corresponds to an initial hierarchical knowledge structure (design alternatives, their estimates, etc.). Ordinal scales for initial information are used. Two basic numerical examples illustrate the approach: (i) modular analysis, adaptation, and improvement of HCSs;(ii) series planning the user interfaces for knowledge engineering.
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